Inspired by [1]}, we also adopt the parameters of the pre-trained StyleGAN[2]} model to compute the principal components of the semantic feature space.
To do this, we solve the following optimization problem
\( \mathbf {f}^* = \mathop {\arg \max }_{\mathbf {f}\in \mathbb {R}^\mathit {d}: \mathbf {f}^T\mathbf {f}=1}\\\Vert W\mathbf {f}\Vert ^2_2  \) 
